Evidence map›Paper›PMID 29742118›Full record

ArticlePloS one2018

Sleep habits and strategies of ultramarathon runners.

Tristan Martin, Pierrick J Arnal, Martin D Hoffman, Guillaume Y Millet

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Running on Empty: Self-Reported Sleep/Wake Behaviour during Ultra-Marathon Events Exceeding 100 Miles.European journal of investigation in health, psychology and education · 2022
    Article
  13. Sleep-Wake Behaviour of 200-Mile Ultra-Marathon Competitors: A Case Study.International journal of environmental research and public health · 2022
    Observational
  14. Review
  15. Review
  16. Article
  17. Review
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  19. Article
  20. Impact of extreme physical exercise (28 consecutive marathons) on sleep time and structure.International journal of clinical and health psychology : IJCHP
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tristan MartinHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada.
Pierrick J ArnalRhythm, San Francisco, CA, United States of America.
Martin D HoffmanDepartment of Physical Medicine & Rehabilitation, Department of Veteran Affairs, Northern California Health Care System, Sacramento, CA, United States of America.
Guillaume Y MilletHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among factors impacting performance during an ultramarathon, sleep is an underappreciated factor that has received little attention. The aims of this study were to characterize habitual sleep behaviors in ultramarathon runners and to examine strategies they use to manage sleep before and during ultramarathons. Responses from 636 participants to a questionnaire were considered. This population was found to sleep more on weekends and holidays (7-8 h to 8-9 h) than during weekdays (6-7 h to 7-8 h; p < 0.001). Work was a mediator of napping habits since 19-25% reported napping on work days and 37-56% on non-work days. There were 24.5% of the participants reporting sleep disorders, with more women (38.9%) reporting sleep problems than men (22.0%; p < 0.005). Mean (±SD) sleepiness score on the Epworth Sleepiness Scale was 8.9 ± 4.3 with 37.6% of respondents scoring higher than 10, reflecting excessive daytime sleepiness. Most of the study participants (73.9%) had a strategy to manage sleep preceding an ultramarathon, with 54.7% trying to increase their opportunities for sleep. Only 21% of participants reported that they had a strategy to manage sleep during ultramarathons, with micronaps being the most common strategy specified. Sub-analyses from 221 responses indicated that sleep duration during an ultramarathon was correlated with finish time for races lasting 36-60 h (r = 0.48; p < 0.01) or > 60 h (r = 0.44; p < 0.001). We conclude that sleep duration among ultramarathon runners was comparable to the general population and other athletic populations, yet they reported a lower prevalence of sleep disorders. Daytime sleepiness was among the lowest rates encountered in athletic populations, which may be related to the high percentage of nappers in our population. Sleep extension, by increasing sleep time at night and daytime napping, was the main sleep strategy to prepare for ultramarathons.

Indexed as

HabitsSleepAdolescentAdultFemaleHumansMaleMiddle AgedRunningSurveys and QuestionnairesWakefulnessYoung Adult

Identifiers

PMID29742118
PMCPMC5942705

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.